|
Descripción
|
|
|---|---|
| Much attention has been given to the use of inertial sensors for remote monitoring of individuals suffering from neurological pathologies. However, the focus has been mostly on the detection of symptoms like tremor or dyskinesia, not on identifying specific activities carried out by subjects. The objective of this study was to develop an automated segmentation and recognition methodology, from inertial sensor data, to identify tasks and motor patterns during activities of daily living. This will enable clinicians to contextualize the symptoms of these diseases and improve their treatment. | |
|
Internacional
|
Si |
|
JCR del ISI
|
Si |
|
Título de la revista
|
Expert Systems With Applications |
|
ISSN
|
0957-4174 |
|
Factor de impacto JCR
|
3,928 |
|
Información de impacto
|
|
|
Volumen
|
|
|
DOI
|
|
|
Número de revista
|
|
|
Desde la página
|
40 |
|
Hasta la página
|
42 |
|
Mes
|
SIN MES |
|
Ranking
|
|